Here is how to begin your data science journey:
Added by Vincent Granville on November 27, 2014 at 4:30pm — 6 Comments
The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday.
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ContinueAdded by Vincent Granville on November 27, 2014 at 11:00am — No Comments
Here I describe a case study: a solution based on high-level data science. By high level, I mean data science not done by statisticians, but by decision makers accessing, digging into, and understanding summary (dashboard) data to quickly make a business decision with immediate financial impact. There is also a section on smart imputation techniques, with patentable, open intellectual property that we created after investigating this problem.
This article is articulated in three…
ContinueAdded by Vincent Granville on November 26, 2014 at 10:30am — No Comments
The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday.
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ContinueAdded by Vincent Granville on November 19, 2014 at 11:30am — No Comments
Three thoughts this time, for our first edition of Thoughts of the Week.
Thought #1
An estimate that is slightly biased but robust, model-independent, easy to compute, and easy to interpret, is better than one that is a non-biased, difficult to compute, mysterious, or not robust. That's one of the differences between data science and statistics.
Thought #2
Learning how to code, especially SQL, should be the last step in…
ContinueAdded by Vincent Granville on November 18, 2014 at 10:30am — 1 Comment
The case study presented here - including root cause analysis and solution - was performed for a digital publisher. It offers a different perspective on what data scientists are capable of. The expert involved here is not a coder, certainly not a production guy, yet is able to leverage his business acumen and domain expertise to
Added by Vincent Granville on November 15, 2014 at 10:00am — 4 Comments
The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday.
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ContinueAdded by Vincent Granville on November 12, 2014 at 6:30pm — No Comments
Tableau's list of 10 Predictions for BI in 2015.
Added by Vincent Granville on November 12, 2014 at 3:30pm — No Comments
Based on requests from clients - vendors of data processing platforms and products - as well as trends in popular blogs, job postings, and my own reading. Here are a few topics recently gaining strong traction (items beyond #13 were recently added)::
Added by Vincent Granville on November 11, 2014 at 10:30am — 4 Comments
In this article, I share some of my unusual views about big data and data science. My next article will be about new trends in data science.
Big data is necessary in more applications than people think
And used with success. It includes
Added by Vincent Granville on November 9, 2014 at 9:30am — 1 Comment
These tips are provided by Dr Granville, who brings 20 years of varied data-intensive experience working with successful start-ups, small companies across various industries, and eBay, Visa, Microsoft, GE and Wells Fargo.
Added by Vincent Granville on November 8, 2014 at 8:00pm — 5 Comments
A few websites catering to analytics and data science professionals have experienced tremendous growth recently. Organizations such as INFORMS or AMSTAT have seen their traffic explode, targeting high school students to join the ranks of data scientists. Niche publishers providing high quality, actionable content - and run by true data scientists rather than journalists - have also seen spectacular growth.…
ContinueAdded by Vincent Granville on November 8, 2014 at 3:00pm — 1 Comment
The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday.
Sponsored Announcement
Just as information is the lifeblood of healthcare, data science is at the heart of the 100 percent online Master of Science degree in Health Informatics at the College…
ContinueAdded by Vincent Granville on November 5, 2014 at 4:00pm — No Comments
Adversarial analytics and business hacking: Amazon case study.
Chances are that you might have purchased a book, or visited a restaurant, as a result of reading fake reviews. The problem impacts companies such as Amazon and Yelp, while on Facebook, massive disinformation campaigns are funded by political money, hitting thousands of profiles and managed by public relation companies: they create fake profiles and try to become friends with influencers. Here the focus is…
ContinueAdded by Vincent Granville on November 2, 2014 at 7:30pm — 7 Comments
Added by Vincent Granville on November 1, 2014 at 8:00am — No Comments
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